Partial Least Squares Structural Equation Modelling (PLS-SEM) with Professor Christian Ringle and Dr Marko Sarstedt

Date(s) - 13/07/2020 - 14/08/2020 All Day


This six-part online course participants to the state-of-the-art of partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3 software. The first day of the course provides a profound introduction to PLS-SEM. Participants will learn the foundations of PLS-SEM and how to apply it by means of the SmartPLS 3 software. The course continues with advanced topics including mediation, moderation, higher-order models, and the importance-performance map analysis (IPMA). At the end of the course, a live (online) wrap-up session includes case study exercises, questions and answers, and an outlook on additional advanced topics.

This online course has been designed for full-time faculty and PhD/DBA doctoral students who are interested in learning how to design their research towards more rigorous and publishable outputs that potentially survive the test of time and are more frequently read and cited. A basic knowledge of univariate and multivariate statistics and SEM techniques is helpful and priority will be given to researchers with this basic knowledge.

The deadline for application is Monday 22nd June. If you would like to be considered for a place, please contact before the deadline stating why you wish to be considered and any prior knowledge and experience of univarite and multivariate statistics and SEM techniques.


Dr. Christian M. Ringle, Professor of Management,
Hamburg University of Technology (TUHH), Germany, and University of Waikato, New Zealand

Christian M. Ringle is a Chaired Professor of Management and the Director of the Institute of Human Resource Management and Organizations (HRMO) in the Depart­ment of Management Sciences and Techno­logy at the Hamburg University of Technology (TUHH), Germany, and a Conjoint Professor of the Waikato Management School, New Zealand.

He holds a PhD from the Faculty of Business and Economics at the University of Hamburg. Amongst other research stays and appoint­ments, Ringle was a visiting researcher at the Georgia State University and the Osaka City University and he was a Conjoint Professor at the University of Technology Sydney and the University of Newcastle in Australia.

His research addresses human resource management, organization, marketing, strategic management, and quantitative methods for business and market research. His contributions in these fields have been published in journals such as International Journal of Research in Marketing, Information Systems Research, Journal of Business Research, Journal of Leisure Research, Journal of Service Research, Journal of the Academy of Marketing Science, Long Range Planning, MIS Quarterly, and Tourism Management. Moreover, Christian is a co-author of two textbooks on the PLS-SEM method and a co-developer of the SmartPLS software program. Recently, he has been included in the 2018 and 2019 Clarivate Analytics’ Highly Researchers list. He regularly teaches doctoral seminars on multivariate statistics, especially the PLS-SEM method, and the use of the statistical software.

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Dr. Marko Sarstedt, Professor of Marketing

Otto-von-Guericke University Magdeburg, Germany, and Monash University Malaysia, Malaysia

Marko is a Chaired Professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany) and an Adjunct Professor at Monash University Malaysia. His main research interest is the advancement of research methods to further the understanding of consumer behavior. His research has been published in Nature Human Behaviour, Journal of Marketing Research, Journal of the Academy of Marketing Science, Multivariate Behavioral Research, Organizational Research Methods, MIS Quarterly, and Psychometrika, among others. According to the 2019 F.A.Z. ranking, he is among the three most influential researchers in Germany, Austria, and Switzerland. Marko has been named member at Clarivate Analytics’ Highly Cited Researchers List, which includes the “world’s most impactful scientific researchers.”

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